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Oral
Thu 0:30 Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
Spotlight
Tue 12:50 Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing · Stephan Eismann · Patricia Suriana · Raphael J Townshend · Ron Dror
Spotlight
Wed 20:50 CPT: Efficient Deep Neural Network Training via Cyclic Precision
Yonggan Fu · Han Guo · Meng Li · Xin Yang · Yining Ding · Vikas Chandra · Yingyan Lin
Poster
Wed 9:00 Coupled Oscillatory Recurrent Neural Network (coRNN): An accurate and (gradient) stable architecture for learning long time dependencies
T. Konstantin Rusch · Siddhartha Mishra
Poster
Mon 1:00 Spatially Structured Recurrent Modules
Nasim Rahaman · Anirudh Goyal · Muhammad Waleed Gondal · Manuel Wuthrich · Stefan Bauer · Yash Sharma · Yoshua Bengio · Bernhard Schoelkopf
Spotlight
Tue 5:28 Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz
Poster
Thu 9:00 Deconstructing the Regularization of BatchNorm
Yann Dauphin · Ekin Cubuk
Poster
Wed 17:00 Explainable Subgraph Reasoning for Forecasting on Temporal Knowledge Graphs
Zhen Han · Peng Chen · Yunpu Ma · Volker Tresp
Spotlight
Thu 3:15 Winning the L2RPN Challenge: Power Grid Management via Semi-Markov Afterstate Actor-Critic
Deunsol Yoon · Sunghoon Hong · Byung-Jun Lee · Kee-Eung Kim
Poster
Wed 1:00 Fooling a Complete Neural Network Verifier
Dániel Zombori · Balázs Bánhelyi · Tibor Csendes · István Megyeri · Márk Jelasity
Spotlight
Tue 20:10 Minimum Width for Universal Approximation
Sejun Park · Chulhee Yun · Jaeho Lee · Jinwoo Shin
Poster
Tue 1:00 Identifying nonlinear dynamical systems with multiple time scales and long-range dependencies
Dominik Schmidt · Georgia Koppe · Zahra Monfared · Max Beutelspacher · Daniel Durstewitz